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Geographical Tactical Voting in Swedish Parliament Elections.
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2012 (English)Independent thesis Advanced level (professional degree), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The Swedish parliament elections utilize a system of proportional representation. Although election fraud is very uncommon, there remains one vulnerability -- tactical voting. In this report the possible effects of geographical tactical voting is studied through simulation using data from real elections. The results point towards that it would be fully possible to accomplish geographical tactical voting. They also show that the same total number of votes would not necessary result in the same distribution of seats for the parliament parties, it depends on how the votes are distributed across Sweden as a whole. We conclude that the Swedish parliament election system would be vulnerable to geographical tactical voting in its current state if votes could be moved. The system itself should get an upgrade to a more sturdy one.

Abstract [sv]

Till det svenska riksdagsvalet används ett system med proportionell representation. Valfusk är ovanligt, men det kvarstår en svaghet -- taktikröstning. I denna rapport studerar vi de möjliga effekterna av geografisk taktikröstning genom simulering baserad på data från riktiga val. Våra resultat pekar på att det skulle möjligt att åstadkomma geografisk taktikröstning i det svenska valsystemet. De pekar även på att samma antal röster inte nödvändigtvis skulle ge samma platsfördelning i Riksdagen, utan det beror på hur rösterna är fördelade över valkretsarna. Vi slår fast att det svenska valsystemet i sin nuvarande form skulle vara sårbart mot geografisk taktikröstning om flyttning av röster tilläts. Systemet bör uppgraderas till ett mer robust system.

Place, publisher, year, edition, pages
Kandidatexjobb CSC, K12044
National Category
Computer Science
URN: urn:nbn:se:kth:diva-131049OAI: diva2:654495
Educational program
Master of Science in Engineering - Computer Science and Technology
Available from: 2013-10-07 Created: 2013-10-07

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